Electron Density and Biologically Effective Dose (BED) Radiomics-Based Machine Learning Models to Predict Late Radiation-Induced Subcutaneous Fibrosis.

Saved in:
Bibliographic Details
Title: Electron Density and Biologically Effective Dose (BED) Radiomics-Based Machine Learning Models to Predict Late Radiation-Induced Subcutaneous Fibrosis.
Authors: Avanzo M; Department of Medical Physics, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, Aviano, Italy., Pirrone G; Department of Medical Physics, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, Aviano, Italy., Vinante L; Department of Radiation Oncology, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, Aviano, Italy., Caroli A; Department of Radiation Oncology, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, Aviano, Italy., Stancanello J; Guerbet SA, Villepinte, France., Drigo A; Department of Medical Physics, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, Aviano, Italy., Massarut S; Breast Surgery Unit, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, Aviano, Italy., Mileto M; Breast Surgery Unit, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, Aviano, Italy., Urbani M; Department of Radiology, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, Aviano, Italy., Trovo M; Department of Radiation Oncology, Udine General Hospital, Udine, Italy., El Naqa I; Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, United States., De Paoli A; Department of Radiation Oncology, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, Aviano, Italy., Sartor G; Department of Medical Physics, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, Aviano, Italy.
Source: Frontiers in oncology [Front Oncol] 2020 Apr 21; Vol. 10, pp. 490. Date of Electronic Publication: 2020 Apr 21 (Print Publication: 2020).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Research Foundation] Country of Publication: Switzerland NLM ID: 101568867 Publication Model: eCollection Cited Medium: Print ISSN: 2234-943X (Print) Linking ISSN: 2234943X NLM ISO Abbreviation: Front Oncol Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 32373520
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Electron Density and Biologically Effective Dose (BED) Radiomics-Based Machine Learning Models to Predict Late Radiation-Induced Subcutaneous Fibrosis.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Avanzo+M%22">Avanzo M</searchLink>; Department of Medical Physics, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, Aviano, Italy.<br /><searchLink fieldCode="AU" term="%22Pirrone+G%22">Pirrone G</searchLink>; Department of Medical Physics, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, Aviano, Italy.<br /><searchLink fieldCode="AU" term="%22Vinante+L%22">Vinante L</searchLink>; Department of Radiation Oncology, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, Aviano, Italy.<br /><searchLink fieldCode="AU" term="%22Caroli+A%22">Caroli A</searchLink>; Department of Radiation Oncology, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, Aviano, Italy.<br /><searchLink fieldCode="AU" term="%22Stancanello+J%22">Stancanello J</searchLink>; Guerbet SA, Villepinte, France.<br /><searchLink fieldCode="AU" term="%22Drigo+A%22">Drigo A</searchLink>; Department of Medical Physics, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, Aviano, Italy.<br /><searchLink fieldCode="AU" term="%22Massarut+S%22">Massarut S</searchLink>; Breast Surgery Unit, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, Aviano, Italy.<br /><searchLink fieldCode="AU" term="%22Mileto+M%22">Mileto M</searchLink>; Breast Surgery Unit, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, Aviano, Italy.<br /><searchLink fieldCode="AU" term="%22Urbani+M%22">Urbani M</searchLink>; Department of Radiology, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, Aviano, Italy.<br /><searchLink fieldCode="AU" term="%22Trovo+M%22">Trovo M</searchLink>; Department of Radiation Oncology, Udine General Hospital, Udine, Italy.<br /><searchLink fieldCode="AU" term="%22El+Naqa+I%22">El Naqa I</searchLink>; Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, United States.<br /><searchLink fieldCode="AU" term="%22De+Paoli+A%22">De Paoli A</searchLink>; Department of Radiation Oncology, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, Aviano, Italy.<br /><searchLink fieldCode="AU" term="%22Sartor+G%22">Sartor G</searchLink>; Department of Medical Physics, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, Aviano, Italy.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101568867%22">Frontiers in oncology</searchLink> [Front Oncol] 2020 Apr 21; Vol. 10, pp. 490. <i>Date of Electronic Publication: </i>2020 Apr 21 (<i>Print Publication: </i>2020).
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Frontiers+Research+Foundation]%22">Frontiers Research Foundation] </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101568867 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Print <i>ISSN: </i>2234-943X (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%222234943X%22">2234943X </searchLink><i>NLM ISO Abbreviation: </i>Front Oncol <i>Subsets: </i>PubMed not MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=32373520
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3389/fonc.2020.00490
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 490
    Titles:
      – TitleFull: Electron Density and Biologically Effective Dose (BED) Radiomics-Based Machine Learning Models to Predict Late Radiation-Induced Subcutaneous Fibrosis.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Avanzo M
      – PersonEntity:
          Name:
            NameFull: Pirrone G
      – PersonEntity:
          Name:
            NameFull: Vinante L
      – PersonEntity:
          Name:
            NameFull: Caroli A
      – PersonEntity:
          Name:
            NameFull: Stancanello J
      – PersonEntity:
          Name:
            NameFull: Drigo A
      – PersonEntity:
          Name:
            NameFull: Massarut S
      – PersonEntity:
          Name:
            NameFull: Mileto M
      – PersonEntity:
          Name:
            NameFull: Urbani M
      – PersonEntity:
          Name:
            NameFull: Trovo M
      – PersonEntity:
          Name:
            NameFull: El Naqa I
      – PersonEntity:
          Name:
            NameFull: De Paoli A
      – PersonEntity:
          Name:
            NameFull: Sartor G
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 21
              M: 04
              Text: 2020 Apr 21
              Type: published
              Y: 2020
          Identifiers:
            – Type: issn-print
              Value: 2234-943X
          Numbering:
            – Type: volume
              Value: 10
          Titles:
            – TitleFull: Frontiers in oncology
              Type: main
ResultId 1